Abstract
Soft strain sensors with high sensitivity and the ability to recover from damages are required in the emerging field of self-healing soft robotics. Here, we developed printable supercapacitive strain sensors that can heal upon moderate heating (75 °C for 10 min) and exhibit a 30 times higher sensitivity than PDMS-based sensors. For the sensor's core layer and electrode, we use a nitrile-functional polysiloxane that contains active ionic initiator and can heal by siloxane equilibration at elevated temperatures. Supercapacitive strain sensors prepared from the elastomer are highly sensitive at low strains of 0–30%, enabled by the electric double-layer formation of the ionic initiator. After healing, the sensors exhibit nearly unaltered performance in tensile testing. Due to the thermoreversible nature of the elastomer network, we can print patterned core layers with different microstructures by direct ink writing. The capacitive sensors based on these microstructured films reach a higher sensitivity and linearity than those based on unstructured films. Finally, we integrate the sensor into a soft robotic finger and validate the sensor's ability to determine the bending angle by motion capture. Our technology can provide new opportunities to equip soft robotic devices with custom-printed, healable strain sensors.
Original language | English |
---|---|
Article number | 2301310 |
Number of pages | 10 |
Journal | Advances Materials Technologies |
Volume | 8 |
Issue number | 24 |
DOIs | |
Publication status | Accepted/In press - 23 Oct 2023 |
Bibliographical note
Funding Information:The authors gratefully acknowledge the financial support from the EU Marie Curie ITN project SMART (860108), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 101001182), the Swiss National Science Foundation (206021_150638/1). E.R., J.L., J.B., and S.T. gratefully acknowledge the Fond Wetenschappelijk Onderzoek (grant numbers 1S84120N, 12Y8622N, 12E1123N, and 1100416N). The authors also acknowledge D. Rentsch (Empa) for his support with the NMR measurements. D.M.O. thanks Prof. F. Nüesch (Empa) for the freedom to perform this research and Prof. J. Vermant (ETHZ) for manifold support.
Publisher Copyright:
© 2023 The Authors. Advanced Materials Technologies published by Wiley-VCH GmbH.
Keywords
- self-healing
- high-permittivity elastomers
- polar polysiloxanes
- supercapacitive strain sensors
- 3D-printing
- Soft Robotics